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Attentive User Interfaces to Improve Multitasking and Take-Over Performance in Automated Driving: The Auto-Net of Things

Philipp Wintersberger, Clemens Schartmüller, Andreas Riener

Source Title: International Journal of Mobile Human Computer Interaction (IJMHCI)11(3)

ISSN: 1942-390X|EISSN: 1942-3918|EISBN13: 9781522565666|DOI: 10.4018/IJMHCI.2019070103

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MLA

Wintersberger, Philipp, et al. "Attentive User Interfaces to Improve Multitasking and Take-Over Performance in Automated Driving: The Auto-Net of Things." IJMHCI vol.11, no.3 2019: pp.40-58. http://doi.org/10.4018/IJMHCI.2019070103

APA

Wintersberger, P., Schartmüller, C., & Riener, A. (2019). Attentive User Interfaces to Improve Multitasking and Take-Over Performance in Automated Driving: The Auto-Net of Things. International Journal of Mobile Human Computer Interaction (IJMHCI), 11(3), 40-58. http://doi.org/10.4018/IJMHCI.2019070103

Chicago

Wintersberger, Philipp, Clemens Schartmüller, and Andreas Riener. "Attentive User Interfaces to Improve Multitasking and Take-Over Performance in Automated Driving: The Auto-Net of Things," International Journal of Mobile Human Computer Interaction (IJMHCI) 11, no.3: 40-58. http://doi.org/10.4018/IJMHCI.2019070103

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Abstract

Automated vehicles promise engagement in side activities, but demand drivers to resume vehicle control in Take-Over situations. This pattern of alternating tasks thus becomes an issue of sequential multitasking, and it is evident that random interruptions result in a performance drop and are further a source of stress/anxiety. To counteract such drawbacks, this article presents an attention-aware architecture for the integration of consumer devices in level-3/4 vehicles and traffic systems. The proposed solution can increase the lead time for transitions, which is useful to determine suitable timings (e.g., between tasks/subtasks) for interruptions in vehicles. Further, it allows responding to Take-Over-Requests directly on handheld devices in emergencies. Different aspects of the Attentive User Interface (AUI) concept were evaluated in two driving simulator studies. Results, mainly based on Take-Over performance and physiological measurements, confirm the positive effect of AUIs on safety and comfort. Consequently, AUIs should be implemented in future automated vehicles.

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Attentive User Interfaces to Improve Multitasking and Take-Over Performance in Automated Driving: The Auto-Net of Things

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